OBJECTIVES: Several lines of evidence suggest that bipolar disorder is associated with progressive changes in gray matter volume (GMV), particularly in brain structures involved in emotional regulation and expression. The majority of these studies however, have been cross-sectional in nature. In this study we compared baseline and follow-up scans in groups of bipolar disorder and healthy subjects. We hypothesized bipolar disorder subjects would demonstrate significant GMV changes over time. METHODS: A total of 58 bipolar disorder and 48 healthy subjects participated in structural magnetic resonance imaging (MRI). Subjects were rescanned 3-34 months after their baseline MRI. MRI images were segmented, normalized to standard stereotactic space, and compared voxel-by-voxel using statistical parametrical mapping software (SPM2). A model was developed to investigate differences in GMV at baseline, and associated with time and episodes, as well as in comparison to healthy subjects. RESULTS: We observed increases in GMV in bipolar disorder subjects across several brain regions at baseline and over time, including portions of the prefrontal cortex as well as limbic and subcortical structures. Time-related changes differed to some degree between adolescent and adult bipolar disorder subjects. The interval between scans positively correlated with GMV increases in bipolar disorder subjects in portions of the prefrontal cortex, and both illness duration and number of depressive episodes were associated with increased GMV in subcortical and limbic structures. CONCLUSIONS: Our findings support suggestions that widely observed progressive neurofunctional changes in bipolar disorder patients may be related to structural brain abnormalities in anterior limbic structures. Abnormalities largely involve regions previously noted to be integral to emotional expression and regulation, and appear to vary by age.
OBJECTIVES: Several lines of evidence suggest that bipolar disorder is associated with progressive changes in gray matter volume (GMV), particularly in brain structures involved in emotional regulation and expression. The majority of these studies however, have been cross-sectional in nature. In this study we compared baseline and follow-up scans in groups of bipolar disorder and healthy subjects. We hypothesized bipolar disorder subjects would demonstrate significant GMV changes over time. METHODS: A total of 58 bipolar disorder and 48 healthy subjects participated in structural magnetic resonance imaging (MRI). Subjects were rescanned 3-34 months after their baseline MRI. MRI images were segmented, normalized to standard stereotactic space, and compared voxel-by-voxel using statistical parametrical mapping software (SPM2). A model was developed to investigate differences in GMV at baseline, and associated with time and episodes, as well as in comparison to healthy subjects. RESULTS: We observed increases in GMV in bipolar disorder subjects across several brain regions at baseline and over time, including portions of the prefrontal cortex as well as limbic and subcortical structures. Time-related changes differed to some degree between adolescent and adult bipolar disorder subjects. The interval between scans positively correlated with GMV increases in bipolar disorder subjects in portions of the prefrontal cortex, and both illness duration and number of depressive episodes were associated with increased GMV in subcortical and limbic structures. CONCLUSIONS: Our findings support suggestions that widely observed progressive neurofunctional changes in bipolar disorderpatients may be related to structural brain abnormalities in anterior limbic structures. Abnormalities largely involve regions previously noted to be integral to emotional expression and regulation, and appear to vary by age.
Authors: Michael Berk; Lesley Berk; Seetal Dodd; Sue Cotton; Craig Macneil; Rothanthi Daglas; Philippe Conus; Andreas Bechdolf; Steven Moylan; Gin S Malhi Journal: Bipolar Disord Date: 2013-06-20 Impact factor: 6.744
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Authors: Michael Berk; Robert Post; Aswin Ratheesh; Emma Gliddon; Ajeet Singh; Eduard Vieta; Andre F Carvalho; Melanie M Ashton; Lesley Berk; Susan M Cotton; Patrick D McGorry; Brisa S Fernandes; Lakshmi N Yatham; Seetal Dodd Journal: World Psychiatry Date: 2017-10 Impact factor: 49.548
Authors: Jeffrey R Strawn; Lisa Hamm; Daniel A Fitzgerald; Kate D Fitzgerald; Christopher S Monk; K Luan Phan Journal: J Anxiety Disord Date: 2015-03-17
Authors: Nancy E Adleman; Stephen J Fromm; Varun Razdan; Reilly Kayser; Daniel P Dickstein; Melissa A Brotman; Daniel S Pine; Ellen Leibenluft Journal: J Child Psychol Psychiatry Date: 2012-06-01 Impact factor: 8.982
Authors: Diego Librenza-Garcia; Jee Su Suh; Devon Patrick Watts; Pedro Lemos Ballester; Luciano Minuzzi; Flavio Kapczinski; Benicio N Frey Journal: Curr Top Behav Neurosci Date: 2021